AI Engineer

About the role

We're hiring on behalf of a Haystack partner!

The Role

• Lead the definition, design, and implementation of security capabilities to enable secure enterprise AI adoption across various platforms.
• Define security and risk requirements for enterprise AI platforms and agent-based systems.
• Translate security, risk, and regulatory expectations into clear technical controls and implementation patterns.
• Partner with AI platform, engineering, and product teams to embed security requirements into architecture, design, and operations.
• Conduct security reviews and threat modeling for AI use cases and platform capabilities.
• Define and guide the implementation of controls related to AI agent identity, access, data usage, and behavior.

What You'll Need

• 7+ years of experience in information technology or cybersecurity, with at least five years in security engineering or a related technical area.
• Hands-on experience designing and implementing security controls in modern environments, including cloud platforms, APIs, and identity systems.
• Experience defining security requirements, standards, or control frameworks in complex enterprise environments.
• Practical experience or strong working knowledge of AI or LLM-based systems, including their risks and security implications.
• Experience partnering with engineering and platform teams to integrate security into development lifecycles and operations.
• Demonstrated ability to evaluate technologies and guide technical decision-making.

What's On Offer

• Competitive annual salary ($121,000 - $173,000) plus comprehensive Total Rewards program.
• Opportunity to work at the intersection of cybersecurity, platform engineering, and emerging AI technologies.
• Engage in a hands-on leadership role defining security models for enterprise AI.
• Contribute to a leading organization focused on property risk management and resilience.

Apply via Haystack today!